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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Breast cancer — one term, many entities?
|
|---|---|
| Published in |
Journal of Clinical Investigation, October 2011
|
| DOI | 10.1172/jci57100 |
| Pubmed ID | |
| Authors |
Nicholas R. Bertos, Morag Park |
| Abstract |
Breast cancer, rather than constituting a monolithic entity, comprises heterogeneous tumors with different clinical characteristics, disease courses, and responses to specific treatments. Tumor-intrinsic features, including classical histological and immunopathological classifications as well as more recently described molecular subtypes, separate breast tumors into multiple groups. Tumor-extrinsic features, including microenvironmental configuration, also have prognostic significance and further expand the list of tumor-defining variables. A better understanding of the features underlying heterogeneity, as well as of the mechanisms and consequences of their interactions, is essential to improve targeting of existing therapies and to develop novel agents addressing specific combinations of features. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | <1% |
| Unknown | 164 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 21% |
| Researcher | 22 | 13% |
| Student > Master | 21 | 13% |
| Student > Bachelor | 14 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Other | 23 | 14% |
| Unknown | 42 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 25% |
| Medicine and Dentistry | 29 | 18% |
| Biochemistry, Genetics and Molecular Biology | 28 | 17% |
| Immunology and Microbiology | 6 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Other | 11 | 7% |
| Unknown | 46 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2022.
All research outputs
#2,655,815
of 25,374,647 outputs
Outputs from Journal of Clinical Investigation
#3,443
of 17,180 outputs
Outputs of similar age
#13,412
of 144,457 outputs
Outputs of similar age from Journal of Clinical Investigation
#15
of 88 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,180 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 144,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.